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This paper examines the role of a sustainability business model in clarifying a firm's sustainability value articulation (SVA) to achieve sustainability outcomes and examining the moderating role of supplier involvement practices SIP and technology systems integration (TSI) in attaining sustainability outcomes.

Drawing upon the foundational principles of business model innovation, specifically articulation and implementation, the authors formulated a theoretical construct and empirically validate it through analysis of data collected from 692 manufacturing firms dispersed across 23 countries.

The research shows that focusing on SVA significantly improves how a company implements sustainability efforts internally (ISI) and externally (ESI), leading to better social and environmental outcomes. It also highlights that SIP improve the relationship between SVA, ESI and ISI. Similarly, TSI boosts the effect of internal and external sustainability efforts on both social (SOP) and environmental performance (EnP).

While acknowledging the inherent constraints of survey-based research methodologies, this study offers a theoretical and verified approach for manufacturers to achieve comprehensive sustainability. It emphasizes the need for clear, actionable sustainability goals that can be met through both internal operations and external partnerships.

This study clarifies how manufacturers can implement sustainable business models, emphasizing the importance of clear sustainability goals and initiatives both within and outside the company. It highlights the dual aspects of supplier engagement through operational tactics (ESI) and strategic collaborations (SIP).

This study reveals a thrilling truth: when companies champion clear sustainability goals, they unlock powerful strategies that revolutionize practices within their walls and in their external dealings. It is not just about going green; it is about weaving financial prosperity, social responsibility and environmental stewardship into the very fabric of their business models. But there is more – by cleverly engaging suppliers and harnessing cutting-edge technology, companies are not just participants in the green revolution; they are leading it, crafting a world where business thrives alongside the planet and its people.

This research stands out for its empirical analysis of how manufacturing firms implement sustainability innovations at the plant level, an area previously underexplored despite extensive theoretical work on sustainability-centric business models.

The objective of this research work is to design a data-based solution for administering traffic organization in a smart city by using the machine learning algorithm.

A machine learning framework for managing traffic infrastructure and air pollution in urban centers relies on a predictive analytics model. The model makes use of transportation data to predict traffic patterns based on the information gathered from numerous sources within the city. It can be promoted for strategic planning determination. The data features volume and calendar variables, including hours of the day, week and month. These variables are leveraged to identify time series-based seasonal patterns in the data. To achieve accurate traffic volume forecasting, the long short-term memory (LSTM) method is recommended.

The study has produced a model that is appropriate for the transportation sector in the city and other innovative urban applications. The findings indicate that the implementation of smart transportation systems enhances transportation and has a positive impact on air quality. The study's results are explored and connected to practical applications in the areas of air pollution control and smart transportation.

The present paper has created the machine learning framework for the transportation sector of smart cities that achieves a reasonable level of accuracy. Additionally, the paper examines the effects of smart transportation on both the environment and supply chain.

This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.

The event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.

Carbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.

The findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.

This paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.

The study aims to determine the outcomes of mentorship in an online game system, as well as the characteristics of good mentors.

A combination of anonymized survey measures and in-game behavioral measures were used to power longitudinal analysis over an 11-month period in which protégés and non-mentored new players could be compared for their performance, social connections and retention.

Successful people were more likely to mentor others, and mentors increased protégés' skill. Protégés had significantly better retention, were more active and much more successful as players than non-protégés. Contrary to expectations, younger, less wealthy and educated people were more likely to be mentors and mentors did not transfer their longevity. Many of the qualities of the mentor remain largely irrelevant—what mattered most was the time spent together.

This is a study of an online game, which has unknown generalizability to other games and to offline settings.

The results show that getting mentors to spend dedicated time with protégés matters more than their characteristics.

Good mentorship does not require age or resources to provide real benefits.

This is the first study of mentorship to use survey and objective outcome measures together, over time, online.

The purpose of this paper is to analyze to what extent and in what ways signaling theory has been explored within the field of international marketing. This paper systematically reviews the use of signaling theory in the field of international marketing. Communication is a core aspect of the international marketing process. Research in this field has explored effective and unique ways of improving the communication flow to reduce the asymmetry of information between international consumers and the firm. This notion is adopted, enhanced and strengthened by signaling theory. Signaling theory has recently received the attention of international marketing scholars.

The systematic review methodology was applied for the purpose of identifying the relevant studies. We extracted academic articles over the last 23 years from the domain of international marketing that directly contribute to signaling theory based on 57 journal articles extracted through the systematic review process.

Based on systematic research the results reveal that the topic has grown and continues to expand within the broader international marketing field. We offer a theoretical conceptual framework to better understand signaling theory in the context of international marketing.

The authors map and critically evaluate the use of signaling theory in international marketing. Relevance of signaling theory in international marketing is growing and authors present an integrative framework that organizes the existing literature, and provides scholars to further expand on emerging themes of the domain. The paper offers some useful future research directions.

Globally, the halal cosmetics market is experiencing rapid growth and is considered a key economic driver in shaping economy development and growth. However, the extant research on halal cosmetics is fragmented, potentially impeding the field’s advancement when challenged with conflicting viewpoints and limited replications. Therefore, this paper aims to address the knowledge gap by conducting a rigorous and technology-enabled systematic review by leveraging appropriate software to comprehensively evaluate the state of the halal cosmetics literature.

A domain-based review using a hybrid approach that incorporates both bibliometric and interpretive analyses are used to comprehensively assess the current progress of halal cosmetics, identify research gaps and suggest potential directions for future research.

Through a comprehensive review of 66 articles, this review provides a holistic and comprehensive overview of halal cosmetics that both academic scholars and market practitioners can rely upon in strategizing and positioning for future development of halal cosmetics. The study provides a holistic and comprehensive overview of halal cosmetics that both academic scholars and market practitioners can reply upon in strategizing and positioning for future development of halal cosmetics.

The fragmented knowledge of extant research on halal cosmetics across various disciplines limits a comprehensive understanding of the field. It is opportune to conduct a comprehensive and systematic review of the field, providing insight into both its current and future progress. In this regard, this review serves as a “one-stop reference” in providing a state-of-the-art understanding of the field, and enables industry practitioners to reveal the full potential and bridge the theory-practice gap in the halal cosmetics industry.

The aim of this paper is to outline the collaborative approach used to craft national learning standards for tertiary programs in the field of environment and sustainability in Australia. The field of environment and sustainability is broad and constituted by diverse stakeholders. As such, articulating a common set of learning standards presents challenges.

The authors developed and used a staged collaborative curriculum design methodology to engage more than 250 stakeholders in tertiary environmental education, including discipline scholars, students, professional associations and employers and other environmental educators. The approach was adaptive, to ensure underrepresented stakeholders’ perspectives were welcomed and recognised. The project was commissioned by the Australian Council of Environmental Deans and Directors (ACEDD) and funded by the Federal Government’s Office for Learning and Teaching.

The collaborative approach developed and used for this work facilitated an inclusive process that valued diversity of perspectives, rather than marginalise diversity in favour of a perspective representing a minimum level of agreement. This is reflected in the standards themselves, and is evidenced by participant feedback, piloting of the standards and their subsequent application at multiple universities. Achieving this required careful planning and facilitation, to ensure a democratisation of the stakeholder consultation process, and to build consensus in support of the standards. Endorsement by ACEDD formalised the standards’ status.

Collaborative curriculum design offered the opportunity to foster a shared sense of common purpose amongst diverse environmental education stakeholders. This approach to curriculum design is intensive and generative but uncommon and may be usefully adapted and applied in other contexts. The authors note one subsequent instance where the approach has been further developed and applied in transforming a generalist science program, suggesting the methodology used in this case may be applied across other contexts, albeit with appropriate adjustments: the authors offer it here in the spirit of supporting others in their own complex curriculum design challenges.

This study explores the integration of smallholder farmers into the export market in Vietnam, an emerging economy. By introducing a prospective framework, we seek to provide insight into factors that influence this integration process.

This study examines the expected growth and entry of Vietnamese smallholder farmers into high-value export markets. We collected information from 200 independent farmers as well as from five local extension workers, who provided information on 50 farmers.

The study reveals that the adoption of new business models is more influential than the variables traditionally included in models of export-market integration in predicting expected growth and entry into high-value export markets. In addition, the results highlight divergent views between farmers and extension workers regarding the role of collectors, with farmers perceiving collectors as potential partners, while extension workers see them as impediments to growth.

The prospective model presented in this study highlights the importance of policy interventions aimed at promoting new business models and addressing infrastructure and capital constraints for the sustainable transformation of agricultural sectors in emerging markets.

This is one of the first articles to apply a prospective approach to export-market integration and demonstrate its efficacy through an empirical study. The suggested prospective approach could facilitate the design of policies aimed at export-market integration within the context of dynamic, emerging markets.

Research has demonstrated that employees desire to be shown appreciation in various ways. The five languages of appreciation provide a model for exploring these differences. This study aims to explore whether individuals who speak different languages (and are from various cultures) differ in how they prefer to be shown appreciation.

The Motivating By Appreciation Inventory (MBAI) is an online tool that assesses each person’s preferences in how they desire to be shown appreciation at work. Initially developed in English, the MBAI has been translated into seven additional languages. Over 2,200 employees took the MBAI in their preferred spoken language: Mandarin (Chinese), Danish, French (Canadian), Portuguese (Brazilian), Spanish (Latin American), Thai and Turkish. The frequency of each group’s preferred appreciation languages was analyzed to determine similarities and differences across the languages spoken.

Given the non-normal distribution of the data, the Kruskal–Wallis test found that there was a significant difference in preferences for participants’ primary appreciation language across the seven groups of various spoken languages. One key theme was that words of affirmation were most frequently chosen by five of the seven language groups, whereas employees from Thailand and Turkey chose acts of service most frequently. Additionally, tangible gifts were the least frequently chosen appreciation language by all groups, and at rates below their US counterparts. In three of the languages, quality time was preferred significantly less compared with the other languages.

Some of the groups’ findings (Portuguese, Thai) may be impacted by a confounding variable of the type of work setting (manufacturing) in which the employees worked – in comparison to office-based work settings.

One theme was, in comparison to other ways of receiving appreciation, tangible gifts are not highly valued by most employees across all language groups. Therefore, organizations using gifts as the primary way to communicate appreciation to employees may be wasting a lot of money. Similar to English-speaking employees, five of the seven language groups chose words as their preferred appreciation language. A wide range exists, however, across language groups with regards to the proportion who desire words, quality time or acts of service. Multicultural organizations should pay attention to employee preferences, lest they waste time and energy on undesired actions.

To the best of the author’s knowledge, this is the first study that has examined the preferences of how employees like to be shown appreciation across seven different language groups.